Answer:
The statistical power of a hypothesis test is the probability of detecting an effect, if there is a true effect present to detect. Power can be calculated and reported for a completed experiment to comment on the confidence one might have in the conclusions drawn from the results of the study.
I hope it's helpful!
The chance of student 1's birthday being individual is 365/365 or 100%.
Then the chance of student 2's birthday being different is 364/365.
Then it's narrowed down to 363/365 for student 3 and so on until you get all 10 students.
If you multiply all these values together, the probability would come out at around 0.88305182223 or 0.88.
To get all the same birthday you'd have to the chance of one birthday, 1/365 and multiply this by itself 10 times. This will produce a very tiny number. In standard form this would be 2.3827x10'-26 or in normal terms: 0.23827109210000000000000000, so very small.
Answer:
Step-by-step explanation:
- (3/4)
Answer:
D
Step-by-step explanation:
choice A is not guaranteed since the values varied from 0 to 7.
choice B seems alright, but doesn't include about or anything about the long run.
choice C is incorrect because 50% are less than 3.12 and 50% are greater than 3.12.
choice D seems pretty good, since it says average, long run, approach, etc.
choice E is incorrect because it says "will be". It is not definite.
Answer:
C) senior citizen ticket 10$, child ticket 11$
Step-by-step explanation:
